{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Tutorial 3: Network Connections\n",
    "\n",
    "In this tutorial, you'll learn:\n",
    "\n",
    "- The projection architecture (Comm-Syn-Out)\n",
    "- Connectivity patterns\n",
    "- CUBA vs COBA output mechanisms\n",
    "- Building excitatory-inhibitory networks\n",
    "- Network simulation and analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import brainpy\n",
    "import brainstate\n",
    "import brainunit as u\n",
    "import braintools\n",
    "import matplotlib.pyplot as plt\n",
    "import jax.numpy as jnp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1: Understanding Projections\n",
    "\n",
    "BrainPy 3.0 uses a **three-stage projection architecture**:\n",
    "\n",
    "```\n",
    "Presynaptic    [Communication]  [Synapse]    [Output]     Postsynaptic\n",
    "Spikes      →  Connectivity  →  Dynamics  →  Injection →  Neurons\n",
    "               & Weights        Filtering     Mechanism\n",
    "```\n",
    "\n",
    "### Why This Design?\n",
    "\n",
    "1. **Modularity**: Each stage is independent and swappable\n",
    "2. **Clarity**: Clear separation of concerns\n",
    "3. **Reusability**: Mix and match components\n",
    "4. **Flexibility**: Easy to customize any stage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 2: Simple Projection Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Created projection: 20 → 10 neurons\n",
      "Connectivity: 30% probability\n",
      "Expected connections: ~60 synapses\n",
      "Synapse type: Exponential (τ=5ms)\n",
      "Output mechanism: CUBA (current-based)\n"
     ]
    }
   ],
   "source": [
    "# Set time step\n",
    "brainstate.environ.set(dt=0.1 * u.ms)\n",
    "\n",
    "# Create pre and post neurons\n",
    "pre_neurons = brainpy.state.LIF(20, V_rest=-65.*u.mV, V_th=-50.*u.mV, V_reset=-65.*u.mV, tau=10.*u.ms)\n",
    "post_neurons = brainpy.state.LIF(10, V_rest=-65.*u.mV, V_th=-50.*u.mV, V_reset=-65.*u.mV, tau=10.*u.ms)\n",
    "\n",
    "# Create projection with all three stages\n",
    "projection = brainpy.state.AlignPostProj(\n",
    "    # Stage 1: Communication (connectivity + weights)\n",
    "    comm=brainstate.nn.EventFixedProb(\n",
    "        20, \n",
    "        10, \n",
    "        0.3,              # 30% connection probability\n",
    "        0.5*u.mS        # Synaptic weight\n",
    "    ),\n",
    "    \n",
    "    # Stage 2: Synapse (temporal dynamics)\n",
    "    syn=brainpy.state.Expon.desc(10, tau=5.*u.ms),\n",
    "    \n",
    "    # Stage 3: Output (how to affect post neurons)\n",
    "    out=brainpy.state.CUBA.desc(),\n",
    "    \n",
    "    # Target neurons\n",
    "    post=post_neurons\n",
    ")\n",
    "\n",
    "print(f\"Created projection: {20} → {10} neurons\")\n",
    "print(f\"Connectivity: {0.3*100:.0f}% probability\")\n",
    "print(f\"Expected connections: ~{20*10*0.3:.0f} synapses\")\n",
    "print(f\"Synapse type: Exponential (τ=5ms)\")\n",
    "print(f\"Output mechanism: CUBA (current-based)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 3: Testing the Projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pre spikes: 20 neurons fired\n",
      "Synaptic conductance (g): ArrayImpl([0., 0., 0., 0., 0.], dtype=float32) * msiemens\n",
      "Post spikes: 10 neurons fired\n"
     ]
    }
   ],
   "source": [
    "# Initialize all states\n",
    "brainstate.nn.init_all_states(pre_neurons)\n",
    "brainstate.nn.init_all_states(post_neurons)\n",
    "\n",
    "# Simulate one step\n",
    "# 1. Activate pre neurons with strong input\n",
    "pre_neurons(5.0 * u.nA)\n",
    "\n",
    "# 2. Get spikes from pre neurons\n",
    "pre_spikes = pre_neurons.get_spike()\n",
    "print(f\"Pre spikes: {u.math.sum(pre_spikes != 0)} neurons fired\")\n",
    "\n",
    "# 3. Propagate through projection\n",
    "projection(pre_spikes)\n",
    "\n",
    "# 4. Check synaptic variable\n",
    "print(f\"Synaptic conductance (g): {projection.syn.g.value[:5]}\")\n",
    "\n",
    "# 5. Update post neurons (they receive synaptic input)\n",
    "post_neurons(0. * u.nA)\n",
    "post_spikes = post_neurons.get_spike()\n",
    "print(f\"Post spikes: {u.math.sum(post_spikes != 0)} neurons fired\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 4: CUBA vs COBA Output\n",
    "\n",
    "Two ways synapses can affect postsynaptic neurons:\n",
    "\n",
    "### CUBA (Current-Based)\n",
    "$$I_{syn} = g$$\n",
    "\n",
    "- Simple: synaptic conductance directly becomes current\n",
    "- Faster computation\n",
    "- Less biologically realistic\n",
    "\n",
    "### COBA (Conductance-Based)\n",
    "$$I_{syn} = g \\cdot (V - E_{rev})$$\n",
    "\n",
    "- Realistic: current depends on driving force\n",
    "- Voltage-dependent\n",
    "- More biologically accurate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CUBA: I_syn = g\n",
      "COBA: I_syn = g * (V - E_rev)\n",
      "\n",
      "With V=-65mV and E=0mV:\n",
      "COBA current will be ~65mV larger (more driving force)\n"
     ]
    }
   ],
   "source": [
    "# Create neurons\n",
    "neurons_cuba = brainpy.state.LIF(5, V_rest=-65.*u.mV, V_th=-50.*u.mV, tau=10.*u.ms)\n",
    "neurons_coba = brainpy.state.LIF(5, V_rest=-65.*u.mV, V_th=-50.*u.mV, tau=10.*u.ms)\n",
    "pre = brainpy.state.LIF(10, V_rest=-65.*u.mV, V_th=-50.*u.mV, tau=10.*u.ms)\n",
    "\n",
    "# CUBA projection\n",
    "proj_cuba = brainpy.state.AlignPostProj(\n",
    "    comm=brainstate.nn.EventFixedProb(10, 5, 0.5, 1.0*u.mS),\n",
    "    syn=brainpy.state.Expon.desc(5, tau=5.*u.ms),\n",
    "    out=brainpy.state.CUBA.desc(),  # Current-based\n",
    "    post=neurons_cuba\n",
    ")\n",
    "\n",
    "# COBA projection (excitatory reversal potential at 0 mV)\n",
    "proj_coba = brainpy.state.AlignPostProj(\n",
    "    comm=brainstate.nn.EventFixedProb(10, 5, 0.5, 1.0*u.mS),\n",
    "    syn=brainpy.state.Expon.desc(5, tau=5.*u.ms),\n",
    "    out=brainpy.state.COBA.desc(E=0.*u.mV),  # Conductance-based\n",
    "    post=neurons_coba\n",
    ")\n",
    "\n",
    "print(\"CUBA: I_syn = g\")\n",
    "print(\"COBA: I_syn = g * (V - E_rev)\")\n",
    "print(\"\\nWith V=-65mV and E=0mV:\")\n",
    "print(\"COBA current will be ~65mV larger (more driving force)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compare CUBA vs COBA\n",
    "brainstate.nn.init_all_states(pre)\n",
    "brainstate.nn.init_all_states(neurons_cuba)\n",
    "brainstate.nn.init_all_states(neurons_coba)\n",
    "\n",
    "duration = 100. * u.ms\n",
    "dt = brainstate.environ.get_dt()\n",
    "times = u.math.arange(0.*u.ms, duration, dt)\n",
    "\n",
    "V_cuba_hist = []\n",
    "V_coba_hist = []\n",
    "\n",
    "for t in times:\n",
    "    # Strong input to pre neurons\n",
    "    pre(3.0 * u.nA)\n",
    "    spikes = pre.get_spike()\n",
    "    \n",
    "    # Propagate through both projections\n",
    "    proj_cuba(spikes)\n",
    "    proj_coba(spikes)\n",
    "    \n",
    "    # Update post neurons\n",
    "    neurons_cuba(0. * u.nA)\n",
    "    neurons_coba(0. * u.nA)\n",
    "    \n",
    "    # Record voltages\n",
    "    V_cuba_hist.append(neurons_cuba.V.value[0])\n",
    "    V_coba_hist.append(neurons_coba.V.value[0])\n",
    "\n",
    "V_cuba_hist = u.math.asarray(V_cuba_hist)\n",
    "V_coba_hist = u.math.asarray(V_coba_hist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Observation: COBA produces stronger depolarization due to larger driving force\n"
     ]
    }
   ],
   "source": [
    "# Plot comparison\n",
    "plt.figure(figsize=(12, 5))\n",
    "plt.plot(times.to_decimal(u.ms), V_cuba_hist.to_decimal(u.mV), \n",
    "         linewidth=2, label='CUBA (current-based)', alpha=0.8)\n",
    "plt.plot(times.to_decimal(u.ms), V_coba_hist.to_decimal(u.mV), \n",
    "         linewidth=2, label='COBA (conductance-based)', alpha=0.8)\n",
    "plt.axhline(y=-50, color='r', linestyle='--', alpha=0.5, label='Threshold')\n",
    "plt.xlabel('Time (ms)', fontsize=12)\n",
    "plt.ylabel('Membrane Potential (mV)', fontsize=12)\n",
    "plt.title('CUBA vs COBA: Postsynaptic Response', fontsize=14)\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "print(\"Observation: COBA produces stronger depolarization due to larger driving force\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 5: Building an Excitatory-Inhibitory Network\n",
    "\n",
    "Let's build a classic E-I balanced network with:\n",
    "- 80% excitatory neurons\n",
    "- 20% inhibitory neurons\n",
    "- All-to-all connectivity patterns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Created E-I network:\n",
      "  - 80 excitatory neurons\n",
      "  - 20 inhibitory neurons\n",
      "  - 100 total neurons\n",
      "  - 10% connectivity\n",
      "  - 4 projection types (E2E, E2I, I2E, I2I)\n"
     ]
    }
   ],
   "source": [
    "class EINetwork(brainstate.nn.Module):\n",
    "    def __init__(self, n_exc=80, n_inh=20, prob=0.1):\n",
    "        super().__init__()\n",
    "        self.n_exc = n_exc\n",
    "        self.n_inh = n_inh\n",
    "        \n",
    "        # Create neuron populations\n",
    "        self.E = brainpy.state.LIF(\n",
    "            n_exc, \n",
    "            V_rest=-65.*u.mV, \n",
    "            V_th=-50.*u.mV, \n",
    "            V_reset=-65.*u.mV,\n",
    "            tau=10.*u.ms,\n",
    "            V_initializer=braintools.init.Normal(-65., 5., unit=u.mV)\n",
    "        )\n",
    "        \n",
    "        self.I = brainpy.state.LIF(\n",
    "            n_inh,\n",
    "            V_rest=-65.*u.mV,\n",
    "            V_th=-50.*u.mV,\n",
    "            V_reset=-65.*u.mV,\n",
    "            tau=10.*u.ms,\n",
    "            V_initializer=braintools.init.Normal(-65., 5., unit=u.mV)\n",
    "        )\n",
    "        \n",
    "        # Excitatory projections (fast, AMPA-like)\n",
    "        self.E2E = brainpy.state.AlignPostProj(\n",
    "            comm=brainstate.nn.EventFixedProb(n_exc, n_exc, prob, 0.3*u.mS),\n",
    "            syn=brainpy.state.Expon.desc(n_exc, tau=2.*u.ms),  # Fast excitation\n",
    "            out=brainpy.state.CUBA.desc(),\n",
    "            post=self.E\n",
    "        )\n",
    "        \n",
    "        self.E2I = brainpy.state.AlignPostProj(\n",
    "            comm=brainstate.nn.EventFixedProb(n_exc, n_inh, prob, 0.3*u.mS),\n",
    "            syn=brainpy.state.Expon.desc(n_inh, tau=2.*u.ms),\n",
    "            out=brainpy.state.CUBA.desc(),\n",
    "            post=self.I\n",
    "        )\n",
    "        \n",
    "        # Inhibitory projections (slower, GABAa-like)\n",
    "        self.I2E = brainpy.state.AlignPostProj(\n",
    "            comm=brainstate.nn.EventFixedProb(n_inh, n_exc, prob, -2.0*u.mS),\n",
    "            syn=brainpy.state.Expon.desc(n_exc, tau=10.*u.ms),  # Slower inhibition\n",
    "            out=brainpy.state.CUBA.desc(),\n",
    "            post=self.E\n",
    "        )\n",
    "        \n",
    "        self.I2I = brainpy.state.AlignPostProj(\n",
    "            comm=brainstate.nn.EventFixedProb(n_inh, n_inh, prob, -2.0*u.mS),\n",
    "            syn=brainpy.state.Expon.desc(n_inh, tau=10.*u.ms),\n",
    "            out=brainpy.state.CUBA.desc(),\n",
    "            post=self.I\n",
    "        )\n",
    "    \n",
    "    def update(self, inp_e, inp_i):\n",
    "        \"\"\"Update network for one time step.\n",
    "        \n",
    "        Key: Get spikes BEFORE updating neurons!\n",
    "        \"\"\"\n",
    "        # Get spikes from previous timestep\n",
    "        spk_e = self.E.get_spike()\n",
    "        spk_i = self.I.get_spike()\n",
    "        \n",
    "        # Update projections (uses previous spikes)\n",
    "        self.E2E(spk_e)\n",
    "        self.E2I(spk_e)\n",
    "        self.I2E(spk_i)\n",
    "        self.I2I(spk_i)\n",
    "        \n",
    "        # Update neurons (receives synaptic input)\n",
    "        self.E(inp_e)\n",
    "        self.I(inp_i)\n",
    "        \n",
    "        return spk_e, spk_i\n",
    "\n",
    "# Create network\n",
    "net = EINetwork(n_exc=80, n_inh=20, prob=0.1)\n",
    "print(f\"Created E-I network:\")\n",
    "print(f\"  - {net.n_exc} excitatory neurons\")\n",
    "print(f\"  - {net.n_inh} inhibitory neurons\")\n",
    "print(f\"  - {net.n_exc + net.n_inh} total neurons\")\n",
    "print(f\"  - 10% connectivity\")\n",
    "print(f\"  - 4 projection types (E2E, E2I, I2E, I2I)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 6: Simulate the Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running simulation...\n",
      "Duration: 500.0 * msecond\n",
      "Time step: 0.1 * msecond\n",
      "Steps: 5000\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bfd46438f02a4a389559c7f6749219bd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/5000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Simulation complete!\n"
     ]
    }
   ],
   "source": [
    "# Initialize all states\n",
    "brainstate.nn.init_all_states(net)\n",
    "\n",
    "# Simulation parameters\n",
    "duration = 500. * u.ms\n",
    "dt = brainstate.environ.get_dt()\n",
    "times = u.math.arange(0.*u.ms, duration, dt)\n",
    "\n",
    "# External input currents\n",
    "I_ext_e = 20 * u.mA  # To excitatory neurons\n",
    "I_ext_i = 16 * u.mA  # To inhibitory neurons\n",
    "\n",
    "# Define simulation step\n",
    "def sim_step(t):\n",
    "    return net.update(I_ext_e, I_ext_i)\n",
    "\n",
    "print(\"Running simulation...\")\n",
    "print(f\"Duration: {duration}\")\n",
    "print(f\"Time step: {dt}\")\n",
    "print(f\"Steps: {len(times)}\")\n",
    "\n",
    "# Run simulation with progress bar\n",
    "spikes = brainstate.transform.for_loop(\n",
    "    sim_step, \n",
    "    times,\n",
    "    pbar=brainstate.transform.ProgressBar(10)\n",
    ")\n",
    "\n",
    "spk_e, spk_i = spikes\n",
    "print(\"\\nSimulation complete!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 7: Analyze Network Activity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Network Statistics:\n",
      "==================================================\n",
      "Total spikes: 2863\n",
      "  - Excitatory: 2606 (91.0%)\n",
      "  - Inhibitory: 257 (9.0%)\n",
      "\n",
      "Firing Rates:\n",
      "  - Excitatory population: 65.15 Hz\n",
      "  - Inhibitory population: 25.70 Hz\n",
      "  - Overall network: 57.26 Hz\n"
     ]
    }
   ],
   "source": [
    "# Calculate statistics\n",
    "n_spikes_e = int(u.math.sum(spk_e != 0))\n",
    "n_spikes_i = int(u.math.sum(spk_i != 0))\n",
    "n_spikes_total = n_spikes_e + n_spikes_i\n",
    "\n",
    "# Firing rates\n",
    "duration_s = duration.to_decimal(u.second)\n",
    "rate_e = n_spikes_e / (net.n_exc * duration_s)\n",
    "rate_i = n_spikes_i / (net.n_inh * duration_s)\n",
    "rate_total = n_spikes_total / ((net.n_exc + net.n_inh) * duration_s)\n",
    "\n",
    "print(\"Network Statistics:\")\n",
    "print(\"=\"*50)\n",
    "print(f\"Total spikes: {n_spikes_total}\")\n",
    "print(f\"  - Excitatory: {n_spikes_e} ({n_spikes_e/n_spikes_total*100:.1f}%)\")\n",
    "print(f\"  - Inhibitory: {n_spikes_i} ({n_spikes_i/n_spikes_total*100:.1f}%)\")\n",
    "print(f\"\\nFiring Rates:\")\n",
    "print(f\"  - Excitatory population: {rate_e:.2f} Hz\")\n",
    "print(f\"  - Inhibitory population: {rate_i:.2f} Hz\")\n",
    "print(f\"  - Overall network: {rate_total:.2f} Hz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 8: Visualize Network Activity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Combine E and I spikes\n",
    "all_spikes = u.math.concatenate([spk_e, spk_i], axis=1)\n",
    "\n",
    "# Find spike times and neuron indices\n",
    "t_idx, n_idx = u.math.where(all_spikes != 0)\n",
    "spike_times = times[t_idx].to_decimal(u.ms)\n",
    "\n",
    "# Create raster plot\n",
    "fig, axes = plt.subplots(2, 1, figsize=(14, 8), \n",
    "                        gridspec_kw={'height_ratios': [3, 1]})\n",
    "\n",
    "# Raster plot\n",
    "colors = ['blue' if i < net.n_exc else 'red' for i in n_idx]\n",
    "axes[0].scatter(spike_times, n_idx, s=1, c=colors, alpha=0.6)\n",
    "axes[0].axhline(y=net.n_exc, color='black', linestyle='--', \n",
    "                alpha=0.5, linewidth=2, label='E/I boundary')\n",
    "axes[0].set_ylabel('Neuron Index', fontsize=12)\n",
    "axes[0].set_title('E-I Network Activity Raster Plot', fontsize=14, fontweight='bold')\n",
    "axes[0].text(10, net.n_exc/2, 'Excitatory', fontsize=10, \n",
    "            bbox=dict(boxstyle='round', facecolor='lightblue', alpha=0.7))\n",
    "axes[0].text(10, net.n_exc + net.n_inh/2, 'Inhibitory', fontsize=10,\n",
    "            bbox=dict(boxstyle='round', facecolor='lightcoral', alpha=0.7))\n",
    "axes[0].legend(loc='upper right')\n",
    "axes[0].grid(True, alpha=0.3)\n",
    "\n",
    "# Population firing rate over time\n",
    "bin_size = 10 * u.ms\n",
    "bins = u.math.arange(0.*u.ms, duration, bin_size)\n",
    "bins_decimal = bins.to_decimal(u.ms)\n",
    "\n",
    "# Calculate rates for E and I\n",
    "t_idx_e, _ = u.math.where(spk_e != 0)\n",
    "t_idx_i, _ = u.math.where(spk_i != 0)\n",
    "\n",
    "hist_e, _ = u.math.histogram(times[t_idx_e].to_decimal(u.ms), bins=bins_decimal)\n",
    "hist_i, _ = u.math.histogram(times[t_idx_i].to_decimal(u.ms), bins=bins_decimal)\n",
    "\n",
    "rate_e = hist_e / (net.n_exc * bin_size.to_decimal(u.second))\n",
    "rate_i = hist_i / (net.n_inh * bin_size.to_decimal(u.second))\n",
    "\n",
    "bin_centers = bins[:-1] + bin_size/2\n",
    "axes[1].plot(bin_centers.to_decimal(u.ms), rate_e, linewidth=2, \n",
    "            label='Excitatory', color='blue', alpha=0.7)\n",
    "axes[1].plot(bin_centers.to_decimal(u.ms), rate_i, linewidth=2, \n",
    "            label='Inhibitory', color='red', alpha=0.7)\n",
    "axes[1].set_xlabel('Time (ms)', fontsize=12)\n",
    "axes[1].set_ylabel('Firing Rate (Hz)', fontsize=12)\n",
    "axes[1].set_title('Population Firing Rates', fontsize=12)\n",
    "axes[1].legend()\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 9: Connectivity Patterns\n",
    "\n",
    "Different connectivity strategies:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Connectivity patterns:\n",
      "1. FixedProb: Random connections with fixed probability\n",
      "2. All2All: Every neuron connects to every other\n",
      "3. One2One: Neuron i connects only to neuron i\n",
      "\n",
      "You can also create custom connectivity!\n"
     ]
    }
   ],
   "source": [
    "# Example: Different connectivity patterns\n",
    "\n",
    "# 1. Fixed probability (what we used)\n",
    "conn_fixed_prob = brainstate.nn.EventFixedProb(\n",
    "    20, 10, 0.3, 0.5*u.mS\n",
    ")\n",
    "\n",
    "# 2. All-to-all (full connectivity)\n",
    "# conn_all2all = brainstate.nn.EventFixedProb(\n",
    "#     20, 10, prob=1.0, weight=0.5*u.mS\n",
    "# )\n",
    "\n",
    "# 3. One-to-one (for same-sized populations)\n",
    "# conn_one2one = brainstate.nn.EventOne2One(\n",
    "#     10, 10, weight=0.5*u.mS\n",
    "# )\n",
    "\n",
    "print(\"Connectivity patterns:\")\n",
    "print(\"1. FixedProb: Random connections with fixed probability\")\n",
    "print(\"2. All2All: Every neuron connects to every other\")\n",
    "print(\"3. One2One: Neuron i connects only to neuron i\")\n",
    "print(\"\\nYou can also create custom connectivity!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 10: Network Variations\n",
    "\n",
    "Experiment with different parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Experiments to try:\n",
      "\n",
      "1. Change E/I balance:\n",
      "   - Increase inhibitory weight → more synchrony\n",
      "   - Decrease inhibitory weight → more irregular\n",
      "\n",
      "2. Change connectivity:\n",
      "   - Higher prob → more correlated activity\n",
      "   - Lower prob → more independent neurons\n",
      "\n",
      "3. Change time constants:\n",
      "   - Faster inhibition → sharper oscillations\n",
      "   - Slower inhibition → smoother dynamics\n",
      "\n",
      "4. Change external input:\n",
      "   - Stronger input → higher firing rates\n",
      "   - Unbalanced input → population bias\n"
     ]
    }
   ],
   "source": [
    "# Try these experiments:\n",
    "\n",
    "print(\"Experiments to try:\")\n",
    "print(\"\\n1. Change E/I balance:\")\n",
    "print(\"   - Increase inhibitory weight → more synchrony\")\n",
    "print(\"   - Decrease inhibitory weight → more irregular\")\n",
    "\n",
    "print(\"\\n2. Change connectivity:\")\n",
    "print(\"   - Higher prob → more correlated activity\")\n",
    "print(\"   - Lower prob → more independent neurons\")\n",
    "\n",
    "print(\"\\n3. Change time constants:\")\n",
    "print(\"   - Faster inhibition → sharper oscillations\")\n",
    "print(\"   - Slower inhibition → smoother dynamics\")\n",
    "\n",
    "print(\"\\n4. Change external input:\")\n",
    "print(\"   - Stronger input → higher firing rates\")\n",
    "print(\"   - Unbalanced input → population bias\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summary\n",
    "\n",
    "In this tutorial, you learned:\n",
    "\n",
    "✅ **Projection Architecture**: Comm-Syn-Out three-stage design\n",
    "\n",
    "✅ **Connectivity Patterns**: Fixed probability, all-to-all, one-to-one\n",
    "\n",
    "✅ **Output Mechanisms**: CUBA (current-based) vs COBA (conductance-based)\n",
    "\n",
    "✅ **E-I Networks**: Building balanced excitatory-inhibitory networks\n",
    "\n",
    "✅ **Network Simulation**: Running and analyzing network dynamics\n",
    "\n",
    "✅ **Visualization**: Raster plots and population firing rates\n",
    "\n",
    "## Key Concepts\n",
    "\n",
    "1. **Update Order**: Always get spikes BEFORE updating projections\n",
    "2. **Modular Design**: Each projection component is independent\n",
    "3. **E-I Balance**: Inhibition counteracts excitation for stable dynamics\n",
    "4. **Time Constants**: Excitation fast (2ms), inhibition slow (10ms)\n",
    "\n",
    "## Next Steps\n",
    "\n",
    "- **Tutorial 4**: Learn about [Input and Output](04-input-output.ipynb)\n",
    "- **Examples**: See [E-I networks in action](../../examples/gallery.rst)\n",
    "- **Advanced**: Explore [oscillation mechanisms](../../examples/gallery.rst#oscillations-and-rhythms)\n",
    "\n",
    "## Exercises\n",
    "\n",
    "Try these on your own:\n",
    "\n",
    "1. Create a network with 3 populations (E1, E2, I)\n",
    "2. Implement distance-dependent connectivity\n",
    "3. Add COBA synapses with different reversal potentials\n",
    "4. Implement a feedforward network (no recurrence)\n",
    "5. Analyze inter-spike intervals (ISI) distribution"
   ]
  }
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